Cognitive Computing

The core research areas of cognitive computing group are Computational Neuroscience, Computer Vision, Machine Learning, Artificial Intelligence, BCI, and Data Security in CPS. Recently, group has tied-up with many industries and is executing collaborative R&D projects to solve some of state-of-the-art research and development problems related to computer vision and video analytics. In future, the group will address following major research challenges of CPS:

  • Physical Awareness: The ability to detect and recognise objects and the physical environment (physical awareness) is a key capability of Cyber-Physical Systems. In particular, it provides the basis for the subsequent analysis of application situations, including all of the technological and human actors involved and their condition, goals and options. Technologies involved are sensor data interpretation and pattern recognition.
  • Fully or Semi-autonomous Behaviour with the Ability to Plan Ahead and Predict the Future: Cyber-Physical Systems are able to act fully or semi-autonomously in order to fulfil goals that would typically either be set by their users or arise from their current situation. One key enabler of this capability is the ability to learn based upon experience from previous applications and interactions with different contexts. Machine learning and artificial intelligence are the technology domains.
  • Human Machine Interaction: Some of the major benefits offered by Cyber-Physical Systems lie in their ability to support the actions and intentions of human beings and perform tasks on their behalf. At the same time, they also take some decisions and perform some actions autonomously and therefore exert an influence over human behaviour and social processes.